Results 1 to 10 of about 365,137 (249)

U.S. Adolescent Rest-Activity patterns: insights from functional principal component analysis (NHANES 2011–2014) [PDF]

open access: yesInternational Journal of Behavioral Nutrition and Physical Activity, 2023
Background Suboptimal rest-activity patterns in adolescence are associated with worse health outcomes in adulthood. Understanding sociodemographic factors associated with rest-activity rhythms may help identify subgroups who may benefit from ...
Chris Ho Ching Yeung   +4 more
doaj   +2 more sources

Trajectory modeling of gestational weight: A functional principal component analysis approach. [PDF]

open access: yesPLoS ONE, 2017
Suboptimal gestational weight gain (GWG), which is linked to increased risk of adverse outcomes for a pregnant woman and her infant, is prevalent. In the study of a large cohort of Canadian pregnant women, our goals are to estimate the individual weight ...
Menglu Che   +3 more
doaj   +2 more sources

Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis. [PDF]

open access: yesPLoS ONE, 2015
Due to the advancement in sensor technology, the growing large medical image data have the ability to visualize the anatomical changes in biological tissues. As a consequence, the medical images have the potential to enhance the diagnosis of disease, the
Nan Lin   +3 more
doaj   +2 more sources

New Modeling Approaches Based on Varimax Rotation of Functional Principal Components

open access: yesMathematics, 2020
Functional Principal Component Analysis (FPCA) is an important dimension reduction technique to interpret the main modes of functional data variation in terms of a small set of uncorrelated variables.
Christian Acal   +2 more
doaj   +3 more sources

Principal Component Analysis of Munich Functional Developmental Diagnosis

open access: yesPediatric Reports, 2021
Objectives: Munich Functional Developmental Diagnosis (MFDD) is a scale for assessing the psychomotor development of children in the first months or years of life.
Grażyna Pazera   +3 more
doaj   +1 more source

K-Nearest Neighbor Method with Principal Component Analysis for Functional Nonparametric Regression

open access: yesمجلة بغداد للعلوم, 2022
This paper proposed a new  method to study functional non-parametric regression data analysis with conditional expectation in the case that the covariates  are functional and the Principal Component Analysis was utilized to de-correlate the multivariate
Shelan Saied Ismaeel   +2 more
doaj   +1 more source

Prediction of Lithium-Ion Battery Capacity by Functional Principal Component Analysis of Monitoring Data

open access: yesApplied Sciences, 2022
The lithium-ion (Li-ion) battery is a promising energy storage technology for electronics, automobiles, and smart grids. Extensive research was conducted in the past to improve the prediction of the remaining capacity of the Li-ion battery.
MD Shoriat Ullah, Kangwon Seo
doaj   +1 more source

Spatial Autocorrelation of Global Stock Exchanges Using Functional Areal Spatial Principal Component Analysis

open access: yesMathematics, 2023
This work focuses on functional data presenting spatial dependence. The spatial autocorrelation of stock exchange returns for 71 stock exchanges from 69 countries was investigated using the functional Moran’s I statistic, classical principal component ...
Tzung Hsuen Khoo   +2 more
doaj   +1 more source

Functional classification of small towns in Germany. A methodological comparison

open access: yesRaumforschung und Raumordnung, 2020
The development of small towns in Germany in terms of their economic, demographic and social endowment is a subject area that has been rather neglected so far.
Philipp Gareis, Antonia Milbert
doaj   +1 more source

Machine-Learning-Based Functional Time Series Forecasting: Application to Age-Specific Mortality Rates

open access: yesForecasting, 2022
We propose a functional time series method to obtain accurate multi-step-ahead forecasts for age-specific mortality rates. The dynamic functional principal component analysis method is used to decompose the mortality curves into dynamic functional ...
Ufuk Beyaztas, Hanlin Shang
doaj   +1 more source

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